Spurious correlation #3,281 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Military technologies and the second variable is Intuit's stock price (INTU). The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Military technologies and the second variable is Intuit's stock price (INTU). The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of military technology and applied sciences experts grows, so does their strategic thinking. This new wave of tactically minded individuals is finding innovative ways to navigate the complex landscape of financial technology. As they deploy their skills in analysis, INTU stock becomes better fortified against market threats. Their proficiency in combatting inefficiencies and optimizing processes is propelling Intuit to declare a dividend of success. With their expertise in deploying cutting-edge solutions, they're creating a bull market not just on the battlefield, but also in the world of finances. It's a surge of brainpower that's leading to a commanding performance in the stock market.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a university campus hosting a futuristic graduation ceremony where a group of students in sleek military uniforms are receiving their Bachelor's degrees in Military Technologies and Applied Sciences. In the background, a massive screen displays the stock ticker symbol for Intuit (INTU) with a prominent green upward arrow, symbolizing a rise in stock price. The depiction must highlight the connection between the increased number of graduates in military technologies and Intuit's stock growth, showcasing improved software optimization for financial services tailored to military clients. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price (INTU). Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Sci-fi fantacy Brutalism Vaporwave Glitch art Cute cartoon
ChatGPT: Sci-fi fantasy

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price (INTU), in the following situation: Because increased military tech degrees improve efficiency, Intuit's stock rose due to improved software optimizing their financial services for military clients.. Keep the description simple.
ChatGPT: The graduation ceremony is taking place on a university campus. A group of students in military uniforms are receiving their Bachelor's degrees in Military Technologies and Applied Sciences. In the background, a large screen displays the stock ticker symbol for Intuit (INTU) with a green upward arrow, indicating a rise in stock price. The scene illustrates the connection between the increased number of graduates with expertise in military technologies and Intuit's stock rising due to improved software optimization for financial services tailored to military clients.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Sci-fi fantasy ] and depicting this scene: The graduation ceremony is taking place on a university campus. A group of students in military uniforms are receiving their Bachelor's degrees in Military Technologies and Applied Sciences. In the background, a large screen displays the stock ticker symbol for Intuit (INTU) with a green upward arrow, indicating a rise in stock price. The scene illustrates the connection between the increased number of graduates with expertise in military technologies and Intuit's stock rising due to improved software optimization for financial services tailored to military clients. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a university campus hosting a futuristic graduation ceremony where a group of students in sleek military uniforms are receiving their Bachelor's degrees in Military Technologies and Applied Sciences. In the background, a massive screen displays the stock ticker symbol for Intuit (INTU) with a prominent green upward arrow, symbolizing a rise in stock price. The depiction must highlight the connection between the increased number of graduates in military technologies and Intuit's stock growth, showcasing improved software optimization for financial services tailored to military clients.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Bachelor's degrees awarded in Military technologies and applied sciences caused Intuit's stock price (INTU) to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income

The Journal of Interdisciplinary Military Technologies and Business Innovations

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price (INTU). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income

[[ABSTRACT]]
In this paper, we elucidate the connection between the number of Bachelor's degrees awarded in Military technologies and applied sciences and its impact on the stock price of Intuit Inc. (INTU). Our research has tangoed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to unlock the mysterious correlation between these seemingly unrelated entities. We've marched through the numbers and uncovered a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021.

As we delved into the correlation between military science degrees and Intuit's stock, we couldn't help but crack a joke: "It seems like military know-how is marching its way into the stock market - or maybe the numbers are just following orders!"

The findings of our research make a compelling case for a relationship too strong to be chalked up to mere coincidence. It's as if the graduates in military technologies are engineering a stock rise with their know-how, giving a whole new meaning to "armed with a bachelor's degree in military technologies."

So, next time someone asks if military science can impact the stock market, you can confidently reply, "Yes, it's a missile in the market, propelling INTU's stock price to new heights!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the ever-evolving world of finance and education, the interplay of seemingly unrelated variables often leads to intriguing discoveries. Our research aims to shed light on an unlikely pair - the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU). It's a bit like finding a connection between combat boots and QuickBooks, but we assure you, the correlation is no drill.
As we dive into the numerical depths, one can't help but wonder: "What do you call a military scientist who's also good with numbers? A quant-commando!" While our research is no laughing matter, there's always room for a little statistical humor, especially when uncovering unexpected relationships between academic disciplines and stock performance.
The world of finance often resembles a complex equation, and much like a good dad joke, there's always an unexpected twist waiting to be revealed. We set out on this research journey armed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), navigating through the maze of numbers to unravel the tangled web connecting military technology education and Intuit's stock performance. It's like untangling a parachute cord - complex, but once sorted, it all falls into place.
Our exploration led us to a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021. In the world of statistics, that's about as close as you can get to a perfect match without resorting to a romantic comedy ending. The relationship between military science degrees and stock prices is definitely not just a shot in the dark - it's a precision-guided missile targeting the heart of financial data.
So, grab your calculators and tactical gear as we plunge into the fascinating realm where academic prowess meets financial performance. Who knew that the trajectory of a stock could be influenced by the deployment of a military science degree? It's like finding a winning algorithm in the barracks, creating profit strategies that truly "march" to their own beat.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The intricate dance between the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU) has puzzled researchers for years. Smith (2015) first delved into this enigmatic relationship, utilizing statistical analysis and financial data to attempt to understand the correlation. As we journey through the annals of academic inquiry, one can't help but ponder the sheer audacity of economics and education intertwining in such a curious conundrum.

But let's not go off half-cocked here; this topic isn't all serious business. In "War and Finance," Doe et al. (2018) wade through the muddy trenches of military technology education and its potential impact on the financial battlefield. Their findings, much like a well-timed punchline, aim to bring some levity to the often somber world of stock market research.

As we navigate through the maze of economic theory and higher education statistics, one might wonder, "What do you get when you cross a military technology degree with Intuit's stock price? A stock market sergeant!" The puns may be playful, but the correlation we've uncovered is no laughing matter.

Turning to the world of non-fiction, "The Art of War" by Sun Tzu provides unexpected insights into the strategic maneuvering that may be reflected in the fluctuations of Intuit's stock price. In a similar vein, "Guns, Germs, and Steel" by Jared Diamond offers a compelling perspective on the influence of technological advancements on societal development, hinting at the broader implications of military technology education.

Shifting gears, let's explore a few fiction titles for a different angle on the matter. "Dune" by Frank Herbert captivates readers with its intricate tale of power, technology, and intrigue - offering a speculative glimpse into the potential impact of military technologies on societal structures. Additionally, "Ender's Game" by Orson Scott Card presents an imaginative narrative about the intersection of military strategy and intellect, serving as a thought-provoking parallel to our investigation.

But wait, there's more! As we trudge through the literature, we mustn't overlook the value of unconventional sources. "GI Joe: A Real American Hero" and "Inspector Gadget" may seem like mere cartoons, but they harbor valuable insights into the portrayal of military technology and its influence on popular culture. And let's not forget "Bill Nye the Science Guy" - after all, who better to elucidate the marriage of applied sciences and military technology than the indefatigable Bill Nye himself?

In conclusion, our foray into the correlation between the issuance of Bachelor's degrees in military technologies and applied sciences and Intuit's stock price has provided a kaleidoscopic view of the multifaceted interplay between seemingly disparate realms. As we dig deeper into this enthralling nexus, we hope our findings will resonate with researchers, investors, and academic enthusiasts alike, leaving them with a newfound appreciation for the unexpected connections that lie beneath the surface of the financial landscape.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price (INTU). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and LSEG Analytics (Refinitiv) . You used data from 2012 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income

[[ABSTRACT]]
In this paper, we elucidate the connection between the number of Bachelor's degrees awarded in Military technologies and applied sciences and its impact on the stock price of Intuit Inc. (INTU). Our research has tangoed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to unlock the mysterious correlation between these seemingly unrelated entities. We've marched through the numbers and uncovered a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021.

As we delved into the correlation between military science degrees and Intuit's stock, we couldn't help but crack a joke: "It seems like military know-how is marching its way into the stock market - or maybe the numbers are just following orders!"

The findings of our research make a compelling case for a relationship too strong to be chalked up to mere coincidence. It's as if the graduates in military technologies are engineering a stock rise with their know-how, giving a whole new meaning to "armed with a bachelor's degree in military technologies."

So, next time someone asks if military science can impact the stock market, you can confidently reply, "Yes, it's a missile in the market, propelling INTU's stock price to new heights!"

[[INTRODUCTION]]
In the ever-evolving world of finance and education, the interplay of seemingly unrelated variables often leads to intriguing discoveries. Our research aims to shed light on an unlikely pair - the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU). It's a bit like finding a connection between combat boots and QuickBooks, but we assure you, the correlation is no drill.
As we dive into the numerical depths, one can't help but wonder: "What do you call a military scientist who's also good with numbers? A quant-commando!" While our research is no laughing matter, there's always room for a little statistical humor, especially when uncovering unexpected relationships between academic disciplines and stock performance.
The world of finance often resembles a complex equation, and much like a good dad joke, there's always an unexpected twist waiting to be revealed. We set out on this research journey armed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), navigating through the maze of numbers to unravel the tangled web connecting military technology education and Intuit's stock performance. It's like untangling a parachute cord - complex, but once sorted, it all falls into place.
Our exploration led us to a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021. In the world of statistics, that's about as close as you can get to a perfect match without resorting to a romantic comedy ending. The relationship between military science degrees and stock prices is definitely not just a shot in the dark - it's a precision-guided missile targeting the heart of financial data.
So, grab your calculators and tactical gear as we plunge into the fascinating realm where academic prowess meets financial performance. Who knew that the trajectory of a stock could be influenced by the deployment of a military science degree? It's like finding a winning algorithm in the barracks, creating profit strategies that truly "march" to their own beat.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the intertwined fate of Military technologies and applied sciences Bachelor's degrees and Intuit's stock price, we embarked on a methodological quest that would make even the most seasoned statistician nod in appreciation. Our first step involved delving into the vast ocean of data provided by the National Center for Education Statistics and LSEG Analytics (Refinitiv), akin to Captain Ahab pursuing the elusive correlation Moby Dick-style, with our correlation coefficient serving as our white whale.

In the spirit of scientific inquiry, we donned our metaphorical lab coats and set sail through the tempestuous sea of internet data, navigating through a virtual storm of Excel spreadsheets and data visualizations with all the grace of a three-legged horse in a derby. Our voyage through the roiling sea of information was as thrilling as a roller coaster ride, and just as likely to induce moments of nausea (both motion and emotional).

With a treasure trove of data in hand, we then employed a nifty statistical method known as Pearson's correlation coefficient, a stalwart companion in the land of data analysis that's as reliable as a weatherman predicting rain in Seattle. This method allowed us to gauge the strength and direction of the linear relationship between the number of Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price - a relationship more intriguing than a love triangle in a soap opera, albeit with fewer dramatic pauses and more standard deviations.

As we gathered the numerical ammunition for our analysis, we couldn't resist exclaiming, "It's time to unleash the full might of statistical firepower on these variables - let the data points fall as they may! Or at least within the acceptable margins of error."

The data from 2012 to 2021 was akin to a well-worn road map, guiding us as we navigated our way through the statistical terrain with the confidence of a GPS system leading a lost driver out of a convoluted maze of back alleys. Our journey through the data was truly an odyssey, and much like Odysseus, we endured our fair share of statistical monsters and Sirens' songs of Excel formulas, but in the end, we arrived at our long-awaited destination of correlation coefficient calculation.

Lastly, we utilized regression analysis to further probe the potential causal relationship between the number of Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price, unleashing the power of mathematical models to depict the dance between these seemingly disconnected variables. It was a bit like fitting a square peg into a round hole, but if the peg is stock performance and the hole is military science education, then regression analysis is the master craftsman who can chisel that peg into a perfect circle.

In conclusion, our methodology was as rigorous as a boot camp drill sergeant and as precise as a sniper's aim, guiding us through the tangled underbrush of data analysis to unveil the compelling connection between military science education and stock price performance. It was a journey filled with statistical acrobatics and charting unknown waters, but in the end, we emerged victorious, armed with insights into a correlation that defies conventional wisdom and dad jokes that would make even the most stoic scientist crack a smile.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price (INTU). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income

[[ABSTRACT]]
In this paper, we elucidate the connection between the number of Bachelor's degrees awarded in Military technologies and applied sciences and its impact on the stock price of Intuit Inc. (INTU). Our research has tangoed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to unlock the mysterious correlation between these seemingly unrelated entities. We've marched through the numbers and uncovered a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021.

As we delved into the correlation between military science degrees and Intuit's stock, we couldn't help but crack a joke: "It seems like military know-how is marching its way into the stock market - or maybe the numbers are just following orders!"

The findings of our research make a compelling case for a relationship too strong to be chalked up to mere coincidence. It's as if the graduates in military technologies are engineering a stock rise with their know-how, giving a whole new meaning to "armed with a bachelor's degree in military technologies."

So, next time someone asks if military science can impact the stock market, you can confidently reply, "Yes, it's a missile in the market, propelling INTU's stock price to new heights!"

[[LITERATURE REVIEW]]
The intricate dance between the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU) has puzzled researchers for years. Smith (2015) first delved into this enigmatic relationship, utilizing statistical analysis and financial data to attempt to understand the correlation. As we journey through the annals of academic inquiry, one can't help but ponder the sheer audacity of economics and education intertwining in such a curious conundrum.
But let's not go off half-cocked here; this topic isn't all serious business. In "War and Finance," Doe et al. (2018) wade through the muddy trenches of military technology education and its potential impact on the financial battlefield. Their findings, much like a well-timed punchline, aim to bring some levity to the often somber world of stock market research.
As we navigate through the maze of economic theory and higher education statistics, one might wonder, "What do you get when you cross a military technology degree with Intuit's stock price? A stock market sergeant!" The puns may be playful, but the correlation we've uncovered is no laughing matter.
Turning to the world of non-fiction, "The Art of War" by Sun Tzu provides unexpected insights into the strategic maneuvering that may be reflected in the fluctuations of Intuit's stock price. In a similar vein, "Guns, Germs, and Steel" by Jared Diamond offers a compelling perspective on the influence of technological advancements on societal development, hinting at the broader implications of military technology education.
Shifting gears, let's explore a few fiction titles for a different angle on the matter. "Dune" by Frank Herbert captivates readers with its intricate tale of power, technology, and intrigue - offering a speculative glimpse into the potential impact of military technologies on societal structures. Additionally, "Ender's Game" by Orson Scott Card presents an imaginative narrative about the intersection of military strategy and intellect, serving as a thought-provoking parallel to our investigation.
But wait, there's more! As we trudge through the literature, we mustn't overlook the value of unconventional sources. "GI Joe: A Real American Hero" and "Inspector Gadget" may seem like mere cartoons, but they harbor valuable insights into the portrayal of military technology and its influence on popular culture. And let's not forget "Bill Nye the Science Guy" - after all, who better to elucidate the marriage of applied sciences and military technology than the indefatigable Bill Nye himself?
In conclusion, our foray into the correlation between the issuance of Bachelor's degrees in military technologies and applied sciences and Intuit's stock price has provided a kaleidoscopic view of the multifaceted interplay between seemingly disparate realms. As we dig deeper into this enthralling nexus, we hope our findings will resonate with researchers, investors, and academic enthusiasts alike, leaving them with a newfound appreciation for the unexpected connections that lie beneath the surface of the financial landscape.

[[RESULTS]]
Our analysis unearthed a striking correlation coefficient of 0.9923759 between the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU) for the time period 2012 to 2021. This correlation coefficient suggests a nearly perfect positive linear relationship between the two variables, as if they were engaged in a synchronized drill.
The r-squared value of 0.9848099 emphasized the robustness of this relationship, indicating that approximately 98.48% of the variability in Intuit's stock price can be explained by the number of Bachelor's degrees awarded in military technologies and applied sciences. It's like finding a stock market unicorn - unexpected, rare, and sure to capture attention!
The p-value of less than 0.01 further supported the existence of a significant relationship, essentially telling us that the likelihood of observing such a strong correlation by chance is about as probable as finding a four-leaf clover in a numerical field. Quite low, to say the least.
Figure 1 depicts a remarkable scatterplot, illustrating the tightly clustered data points that dance along a clear upward trendline. The graph represents an undeniable connection, as if the military technology degrees are standing at attention, saluting the upward trajectory of Intuit's stock price.
Our findings shed light on a connection that transcends conventional wisdom, the financial markets, and academic disciplines. It's like discovering a hidden treasure in a stock market maze, with military science degrees proving to be the key that unlocks Intuit's potential for growth.
In conclusion, our research provides compelling evidence of the unexpected impact of military technologies and applied sciences education on the stock price of Intuit. One can't help but muse, "Who knew that military expertise could pave the way for stock market success? It's an artillery of knowledge that's tough to beat!"

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our investigation into the correlation between the number of Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price has yielded groundbreaking insights that go beyond the traditional bounds of economic and academic discourse. It's as if we've uncovered a war chest of knowledge hidden beneath the veneer of financial markets.

Our findings not only corroborate the earlier research conducted by Smith (2015) and Doe et al. (2018) but also stand as a testament to the undeniable influence wielded by military science education on the dynamics of the stock market. It's as if the data itself is standing at attention, saluting the robustness of our conclusions.

The near-perfect positive linear relationship, with a correlation coefficient of 0.9923759, underscores the magnitude of the link observed between these seemingly incongruent variables. It's as if military know-how is doing push-ups and sit-ups in tandem with Intuit's stock price, sculpting a formidable correlation that can't be dismissed as mere coincidence.

Furthermore, the r-squared value of 0.9848099 accentuates the solidity of this relationship, providing a statistical embrace that's tighter than a military stronghold. It's as if our data is mustering its troops, standing shoulder to shoulder to defend the strength of our findings.

The p-value of less than 0.01 reinforces the significance of our results, indicating that the likelihood of such a strong correlation occurring by chance is about as probable as finding a supersized diamond in a statistical mine. It's a statistical rarity akin to finding an unblemished petri dish in a lab overrun by curious lab rats.

The scatterplot vividly portrays this robust relationship, as if the dots are performing an intricate dance routine, with military science degrees leading Intuit's stock price in a synchronized step. It's as if we've stumbled upon a ballroom filled with data points waltzing to the crescendo of correlation.

Our research not only broadens the horizons of academic inquiry but also offers a whimsical pas de deux between military technologies and applied sciences education and the whimsically unpredictable world of stock prices. It's as if we've uncovered a secret partnership between two unlikely allies - the disciplined precision of military science and the capricious nature of stock market fluctuations.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Intuit's stock price (INTU). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income

[[ABSTRACT]]
In this paper, we elucidate the connection between the number of Bachelor's degrees awarded in Military technologies and applied sciences and its impact on the stock price of Intuit Inc. (INTU). Our research has tangoed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to unlock the mysterious correlation between these seemingly unrelated entities. We've marched through the numbers and uncovered a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021.

As we delved into the correlation between military science degrees and Intuit's stock, we couldn't help but crack a joke: "It seems like military know-how is marching its way into the stock market - or maybe the numbers are just following orders!"

The findings of our research make a compelling case for a relationship too strong to be chalked up to mere coincidence. It's as if the graduates in military technologies are engineering a stock rise with their know-how, giving a whole new meaning to "armed with a bachelor's degree in military technologies."

So, next time someone asks if military science can impact the stock market, you can confidently reply, "Yes, it's a missile in the market, propelling INTU's stock price to new heights!"

[[INTRDUCTION]]
In the ever-evolving world of finance and education, the interplay of seemingly unrelated variables often leads to intriguing discoveries. Our research aims to shed light on an unlikely pair - the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU). It's a bit like finding a connection between combat boots and QuickBooks, but we assure you, the correlation is no drill.
As we dive into the numerical depths, one can't help but wonder: "What do you call a military scientist who's also good with numbers? A quant-commando!" While our research is no laughing matter, there's always room for a little statistical humor, especially when uncovering unexpected relationships between academic disciplines and stock performance.
The world of finance often resembles a complex equation, and much like a good dad joke, there's always an unexpected twist waiting to be revealed. We set out on this research journey armed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), navigating through the maze of numbers to unravel the tangled web connecting military technology education and Intuit's stock performance. It's like untangling a parachute cord - complex, but once sorted, it all falls into place.
Our exploration led us to a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021. In the world of statistics, that's about as close as you can get to a perfect match without resorting to a romantic comedy ending. The relationship between military science degrees and stock prices is definitely not just a shot in the dark - it's a precision-guided missile targeting the heart of financial data.
So, grab your calculators and tactical gear as we plunge into the fascinating realm where academic prowess meets financial performance. Who knew that the trajectory of a stock could be influenced by the deployment of a military science degree? It's like finding a winning algorithm in the barracks, creating profit strategies that truly "march" to their own beat.

[[RESULTS]]
Our analysis unearthed a striking correlation coefficient of 0.9923759 between the number of Bachelor's degrees awarded in Military technologies and applied sciences and the stock price of Intuit Inc. (INTU) for the time period 2012 to 2021. This correlation coefficient suggests a nearly perfect positive linear relationship between the two variables, as if they were engaged in a synchronized drill.
The r-squared value of 0.9848099 emphasized the robustness of this relationship, indicating that approximately 98.48% of the variability in Intuit's stock price can be explained by the number of Bachelor's degrees awarded in military technologies and applied sciences. It's like finding a stock market unicorn - unexpected, rare, and sure to capture attention!
The p-value of less than 0.01 further supported the existence of a significant relationship, essentially telling us that the likelihood of observing such a strong correlation by chance is about as probable as finding a four-leaf clover in a numerical field. Quite low, to say the least.
Figure 1 depicts a remarkable scatterplot, illustrating the tightly clustered data points that dance along a clear upward trendline. The graph represents an undeniable connection, as if the military technology degrees are standing at attention, saluting the upward trajectory of Intuit's stock price.
Our findings shed light on a connection that transcends conventional wisdom, the financial markets, and academic disciplines. It's like discovering a hidden treasure in a stock market maze, with military science degrees proving to be the key that unlocks Intuit's potential for growth.
In conclusion, our research provides compelling evidence of the unexpected impact of military technologies and applied sciences education on the stock price of Intuit. One can't help but muse, "Who knew that military expertise could pave the way for stock market success? It's an artillery of knowledge that's tough to beat!"

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the results of our research have illuminated a robust and almost uncanny correlation between the number of Bachelor's degrees awarded in Military technologies and applied sciences and Intuit Inc.'s stock price from 2012 to 2021. It's as if the graduates in military technologies are launching a successful financial campaign with their knowledge, proving that in the market, as in battle, strategy and expertise prevail. It's a prime example of the saying, "When you're armed with a military science degree, every stock chart is your battlefield!"

Our statistical analysis has painted a clear picture of this unexpected relationship, showing a correlation coefficient so high, it's as if we stumbled upon a statistical goldmine, or should we say, gold-INTU! The likelihood of this correlation occurring by chance is about as likely as finding a submarine in a desert – not very. With a p-value less than 0.01, the evidence points to a significant connection, making it clear that this correlation is no loose canon, but rather a firm fixture in the financial landscape.

Now, it's time to hang our lab coats and say, "Mission accomplished!" Our findings not only bridge the gap between military knowledge and stock market success but also demonstrate the unyielding impact of academic disciplines on economic activities. It's like uncovering the treasure map that leads straight to the financial pot of gold – or should we say, Gold-INTU once again? The sheer magnitude of this connection is both eye-opening and, dare we say, "stock-stonishing!"

In the spirit of good research ethics, we assert that no additional investigation in this area is needed. Our findings have not only solidified the link between military technologies education and Intuit's stock price, but have also added a touch of whimsy to the world of finance. As the saying goes, "You can take the researcher out of the lab, but you can't take the lab out of the researcher!"

No more research is needed in this area – the relationship has been well "armed" for success! And with that, we'll "retreat" to our offices, where our next "mission" awaits.

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Interdisciplinary Military Technologies and Business Innovations

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Interdisciplinary Innovation and Applied Technology

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income with an abstract of In this paper, we elucidate the connection between the number of Bachelor's degrees awarded in Military technologies and applied sciences and its impact on the stock price of Intuit Inc. (INTU). Our research has tangoed with data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to unlock the mysterious correlation between these seemingly unrelated entities. We've marched through the numbers and uncovered a correlation coefficient of 0.9923759 and p < 0.01 for the years 2012 to 2021.
As we delved into the correlation between military science degrees and Intuit's stock, we couldn't help but crack a joke: "It seems like military know-how is marching its way into the stock market - or maybe the numbers are just following orders!"
The findings of our research make a compelling case for a relationship too strong to be chalked up to mere coincidence. It's as if the graduates in military technologies are engineering a stock rise with their know-how, giving a whole new meaning to "armed with a bachelor's degree in military technologies."
So, next time someone asks if military science can impact the stock market, you can confidently reply, "Yes, it's a missile in the market, propelling INTU's stock price to new heights!

ChatGPT:

Military technologies, applied sciences, bachelor's degrees, Intuit stock price, correlation, National Center for Education Statistics, LSEG Analytics, Refinitiv, stock market impact

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

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Data details

Bachelor's degrees awarded in Military technologies
Detailed data title: Bachelor's degrees conferred by postsecondary institutions, in field of study: Military technologies and applied sciences
Source: National Center for Education Statistics
See what else correlates with Bachelor's degrees awarded in Military technologies

Intuit's stock price (INTU)
Detailed data title: Opening price of Intuit (INTU) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: ^{See full details} Via Microsoft Excel Stockhistory function

See what else correlates with Intuit's stock price (INTU)

Correlation r = 0.9923759 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.9848099 (Coefficient of determination)
This means 98.5% of the change in the one variable (i.e., Intuit's stock price (INTU)) is predictable based on the change in the other (i.e., Bachelor's degrees awarded in Military technologies) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.5E-8.^Show 0.0000000146472249931060250000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.99 in 1.5E-6% of random cases. Said differently, if you correlated 68,272,318 random variables^Note You don't actually need 68 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.97, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Bachelor's degrees awarded in Military technologies (Degrees awarded)	86	105	185	276	358	469	655	767	1156	1524
Intuit's stock price (INTU) (Stock price)	53.23	60.13	76.11	92.21	94.19	114.34	158.22	191.5	261.08	379.74

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([86,105,185,276,358,469,655,767,1156,1524,])
array_2 = np.array([53.23,60.13,76.11,92.21,94.19,114.34,158.22,191.5,261.08,379.74,])
array_1_name = "Bachelor's degrees awarded in Military technologies"
array_2_name = "Intuit's stock price (INTU)"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Bachelor's degrees awarded in Military technologies
Line chart for only Intuit's stock price (INTU)
AI-generated correlation image
The spurious research paper: Marrying Military Know-How: Mapping the Marriage of Military Technologies and Applied Sciences Bachelor's Degrees with Intuit's Intriguing Incremental Income

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Correlation ID: 3281 · Black Variable ID: 1284 · Red Variable ID: 1594


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